Machine Learning based Pallets Detection and Tracking in AGVs

04/19/2020

∙

by   Shengchang Zhang, et al.

∙

0

∙

share

The use of automated guided vehicles (AGVs) has played a pivotal role in manufacturing and distribution operations, providing reliable and efficient product handling. In this project, we constructed a deep learning-based pallets detection and tracking architecture for pallets detection and position tracking. By using data preprocessing and augmentation techniques and experiment with hyperparameter tuning, we achieved the result with 25 reduction of error rate, 28.5 reduction of training time.